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Computer Systems
COMP 4983

Machine Learning COMP 4983

Computer Systems Course

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Notices

Registration news

Registration is now open for the Winter 2027 term.

Additional Information

Please check the classroom locations listing on the first day of your course.
Find out if you qualify for financial aid.
BCIT’s English Language Proficiency Standard for Flexible Learning (Part-time Studies) is English 12.
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Course Overview

This course covers the concepts and models in machine learning including regression, classification, clustering, dimensionality reduction and kernel methods. Students will apply different machine learning techniques to data sets through the components of a machine learning system that includes data ingestion, preprocessing, model training, testing and deployment. In addition, practical aspects, including limitations as well as techniques to evaluate the performance of machine learning systems will be examined.

Prerequisite(s)

COMP 3981 and COMP 3760

Credits

5.0

Not offered this term: This course is not offered this term. Notify me to receive email notifications when the course opens for registration next term.

Learning Outcomes

Upon successful completion of this course, the student will be able to:

Explain the key concepts and techniques in machine learning.
Develop the components of machine learning systems.
Apply machine learning techniques and algorithms to data sets for decision making and prediction.
Perform model selection and parameter tuning of machine learning systems.

Effective as of Winter 2018

Related Programs

Machine Learning (COMP 4983) is offered as a part of the following programs:

Indicates programs accepting international students.
Indicates programs eligible for students to apply for Post-graduation Work Permit (PGWP).

School of Computing and Academic Studies

Computer Systems Technology
Diploma Full-time

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